Covariance pooling for facial expression recognition

• Main Authors: ACHARYA, D., HUANG, Zhiwu, PAUDEL, D., VAN, Gool L.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Face recognition; Covariance matrices; Manifolds; Image recognition; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6388; https://ink.library.smu.edu.sg/context/sis_research/article/7391/viewcontent/Covariance_Pooling_for_Facial_Expression_Recognition.pdf
• Institution: Singapore Management University

Classifying facial expressions into different categories requires capturing regional distortions of facial landmarks. We believe that second-order statistics such as covariance is better able to capture such distortions in regional facial features. In this work, we explore the benefits of using a ma...